title: Automated measurement of cerebral cortical thickness based on fuzzy membership map derived from MR images for evaluation of Alzheimer's disease.
abstract: We have proposed an automated method for three-dimensional (3D) measurement of cerebral cortical thicknesses based on fuzzy membership maps derived from magnetic resonance (MR) images for evaluation of Alzheimer's disease (AD). The cerebral cortical thickness was three-dimensionally measured on each cortical surface voxel by using a localized gradient vector trajectory in a fuzzy membership map. The proposed method could be useful for the 3D measurement of the cerebral cortical thickness on individual cortical surface voxels as an atrophy feature in AD.
authors.forename: Hidetaka
authors.initials: H
authors.lastname: Arimura
authors.forename: Chiaki
authors.initials: C
authors.lastname: Tokunaga
authors.forename: Takashi
authors.initials: T
authors.lastname: Yoshiura
authors.forename: Tomoyuki
authors.initials: T
authors.lastname: Ohara
authors.forename: Yasuo
authors.initials: Y
authors.lastname: Yamashita
authors.forename: Fukai
authors.initials: F
authors.lastname: Toyofuku
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D000465:Algorithms; D000544:Alzheimer Disease / Q000000981:diagnostic imaging / Q000473:pathology*; D001331:Automation; D001931:Brain Mapping; D002540:Cerebral Cortex / Q000033:anatomy & histology*; D006801:Humans; D021621:Imaging, Three-Dimensional; D008279:Magnetic Resonance Imaging; D011859:Radiography